ONE-DIMENSIONAL CONVOLUTIONAL NEURAL NETWORK MODEL FOR PROCESSING AMPLITUDE MODULATION ON MANY COMPONENTS SIGNALS
The processing of radio signals using artificial neural networks (ANNs) has great potential for research, which can be explained by the adaptability of ANNs to various transmission conditions and the ability to detect abstract patterns of changes in signal parameters. The article reviews the works of other authors devoted to different ways of using ANNs for processing radio signals. Taking into account the information in the reviewed works, the research task was formed, which consists in developing an optimized ANN model for radio signal processing.